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| # https://www.analyticsvidhya.com/blog/2021/07/streamlit-quickly-turn-your-ml-models-into-web-apps/ | |
| import streamlit as st | |
| import pandas as pd | |
| import numpy as np | |
| from model_methods import predict | |
| # configuration of the page | |
| st.set_page_config( | |
| layout="centered", | |
| page_icon="🏠", | |
| page_title="Are you planning to sell your house?", | |
| initial_sidebar_state='auto', | |
| ) | |
| st.title("🏠Ames Housing Sale Price recommendation tool") | |
| st.markdown(''' | |
| The algorithm driving this app is built on | |
| historical housing sale price data to generate | |
| recommended Sale Price! Please enter your house details | |
| to get a Sale Price suggestion 🙂 | |
| ''') | |
| ########################################################### | |
| st.info('Only Enter Numeric Values in the Following Fields') | |
| gr_liv_area = st.text_input('Enter house ground living area in square feet. Accept values 334 to 3395 inclusive', '') | |
| overall_qual = np.nan | |
| total_bsmt_sf = st.text_input('Enter house total basement area in square feet. Accept values 0 to 3206 inclusive', '') | |
| garage_area = st.text_input('Enter house garage area in square feet. Accept values 0 to 1356 inclusive', '') | |
| year_built = st.text_input('Enter the year your house was built. Accept values 1872 to 2010 inclusive', '') | |
| mas_vnr_area = st.text_input('Enter house masonry veneer area in square feet. Accept values 0 to 1129 inclusive', '') | |
| def predict_price(): | |
| data = list(map(float, [gr_liv_area, | |
| (float(gr_liv_area))**2, | |
| (float(gr_liv_area))**3, | |
| overall_qual, | |
| total_bsmt_sf, | |
| garage_area, | |
| year_built, | |
| mas_vnr_area])) | |
| result = np.format_float_positional((predict(data)[0]), unique=False, precision=0) | |
| st.info(f'# Our SalePrice suggestion is ${result}') | |
| st.write('with an estimated uncertainty of ± \$11K') | |
| if st.button('Recommend Saleprice'): | |
| if gr_liv_area and overall_qual and total_bsmt_sf and garage_area and year_built and mas_vnr_area: | |
| with st.sidebar: | |
| try: | |
| predict_price() | |
| except: | |
| st.warning('''Oops, looks like you missed a spot. | |
| Please complete all fields to get a quote estimate | |
| for property Sale Price 🙏. | |
| \n\n Thank you. 🙂''') | |